The following matlab project contains the source code and matlab examples used for conjugate gradient.

# Lobpcg solves hermitian partial generalized eigenproblems using preconditioning, competes with eigs in matlab

The following Matlab project contains the source code and Matlab examples used for lobpcg solves hermitian partial generalized eigenproblems using preconditioning, competes with eigs . This main function LOBPCG is a version of the preconditioned conjugate gradient method (Algorithm 5.

# Greedy algorithms promoting group sparsity v3 in matlab

The following Matlab project contains the source code and Matlab examples used for greedy algorithms promoting group sparsity v3. Group and Block Sparse Signal reconstruction via Matching Pursuit - BMP, GMP Gradient Pursuit - block_gp, group_gp Nearly Orthogonal Matching Pursuit - block_nomp, group_nomp Partial Conjugate Gradient Pursuit - block_pcgp, group_pcgp Orthogonal Least Squares - BOLS, GOLS.

# orthogonal least squares algorithms for sparse signal reconstruction in matlab

The following Matlab project contains the source code and Matlab examples used for orthogonal least squares algorithms for sparse signal reconstruction. Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit ols_nomp: Sparse reconstruction by Orthogonal Least Squares followed by Approximate Conjugate Gradient Pursuit ols_pcgp: Sparse reconstruction by Orthogonal Least Squares followed by Partial Conjugate Gradient Pursuit

# Iterative methods for linear and nonlinear equations in matlab

The following Matlab project contains the source code and Matlab examples used for iterative methods for linear and nonlinear equations. This book provides a complete analysis of the conjugate gradient and generalized minimum residual iterations. For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1344.jsp.

# Pcg with 'null' and 'flex' options in matlab

The following Matlab project contains the source code and Matlab examples used for pcg with 'null' and 'flex' options. PCG Preconditioned Conjugate Gradients Method is a replacement of the standard built-in PCG code.

# Efficient conjugate gradient method for symmetric banded matrix in matlab

The following Matlab project contains the source code and Matlab examples used for efficient conjugate gradient method for symmetric banded matrix. This code uses conjugate gradient method to solve the linear system Ax= b, where A is symmetric and banded.

# Conjugate gradient optimizer in matlab

The following Matlab project contains the source code and Matlab examples used for conjugate gradient optimizer. % This example demonstrates the use of conjgrad.

# Preconditionnate conjugate gradient in matlab

The following Matlab project contains the source code and Matlab examples used for preconditionnate conjugate gradient. PCONJGRAD - Preconditionner Conjugate gradient optimisation [m] = conjGrad('calcAx', init, b, options, .

# Conjugate gradient method in matlab

The following Matlab project contains the source code and Matlab examples used for conjugate gradient method. The conjugate gradient method aims to solve a system of linear equations, Ax=b, where A is symmetric, without calculation of the inverse of A. 